Instructions to use anzorq/kbd-vits-tts-male with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anzorq/kbd-vits-tts-male with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="anzorq/kbd-vits-tts-male")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anzorq/kbd-vits-tts-male", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7a82278faa59849b590a7f89bf8d34c40284831e486483b6fabd596898d01d7
- Size of remote file:
- 998 MB
- SHA256:
- 23eb3e3fb5eae7f51dffaf224085576bcdc02838b6fc2dc50fb958dd04afd096
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